Topic: RabbitMQ: Asynchronous Communication Date: Feb 2 Sunday Time: 10:30 AM to 1 PM Venue: Online. Will be shared in mail after RSVP.
Join us for an in-depth session on RabbitMQ in เฎคเฎฎเฎฟเฎดเฏ, where weโll explore,
Message queuing fundamentals
Connections, channels, and virtual hosts
Exchanges, queues, and bindings
Publisher confirmations and consumer acknowledgments
Use cases and live demos
Whether youโre a developer, DevOps enthusiast, or curious learner, this session will empower you with the knowledge to build scalable and efficient messaging systems.
Donโt miss this opportunity to level up your messaging skills!
Today, i learnt about push vs pull architecture, the choice between push and pull architectures can significantly influence system performance, scalability, and user experience. Both approaches have their unique advantages and trade-offs. Understanding these architectures and their ideal use cases can help developers and architects make informed decisions.
What is Push Architecture?
Push architecture is a communication pattern where the server actively sends data to clients as soon as it becomes available. This approach eliminates the need for clients to repeatedly request updates.
How it Works
The server maintains a connection with the client.
When new data is available, the server โpushesโ it to the connected clients.
In a message queue context, producers send messages to a queue, and the queue actively delivers these messages to subscribed consumers without explicit requests.
Examples
Notifications in Mobile Apps: Users receive instant updates, such as chat messages or alerts.
Stock Price Updates: Financial platforms use push to provide real-time market data.
Message Queues with Push Delivery: Systems like RabbitMQ or Kafka configured to push messages to consumers.
Server-Sent Events (SSE) and WebSockets: These are common implementations of push.
Reduced Redundancy: No need for clients to poll servers frequently, reducing bandwidth consumption.
Challenges
Complexity: Maintaining open connections, especially for many clients, can be resource-intensive.
Scalability: Requires robust infrastructure to handle large-scale deployments.
What is Pull Architecture?
Pull architecture involves clients actively requesting data from the server. This pattern is often used when real-time updates are not critical or predictable intervals suffice.
How it Works
The client periodically sends requests to the server.
The server responds with the requested data.
In a message queue context, consumers actively poll the queue to retrieve messages when ready.
Examples
Web Browsing: A browser sends HTTP requests to fetch pages and resources.
API Data Fetching: Applications periodically query APIs to update information.
Message Queues with Pull Delivery: Systems like SQS or Kafka where consumers poll for messages.
Polling: Regularly checking a server or queue for updates.
Advantages
Simpler Implementation: No need for persistent connections; standard HTTP requests or queue polling suffice.
Server Load Control: The server can limit the frequency of client requests to manage resources better.
Challenges
Latency: Updates are only received when the client requests them, which might lead to delays.
Increased Bandwidth: Frequent polling can waste resources if no new data is available.
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Topic: RabbitMQ: Asynchronous Communication